The newly released revenue assurance market analysis report by Future Market Insights shows that global sales of the revenue assurance market in 2022 were held at US$ 603.2 million. With 8.5% projected growth, the market from 2023 to 2033 is expected to reach a valuation of US$ 1479.9 million by 2033.
Software is expected to be the highest revenue-generating category, projected to register a cumulative annual growth rate of 7.4% between 2023 and 2033.
In recent years, despite growing recognition of the importance of revenue assurance, service providers have frequently faced revenue leakage issues as new access and service delivery technologies are implemented, along with the ongoing product evolution. A lack of transparency is one of the possible sources of lost sales that inhibits a firm's capacity to enact effective risk-reduction strategies.
Revenue assurance solutions can help companies identify and prioritize risk factors, allowing them to develop and implement effective policies, processes, and controls to reduce revenue loss and improve financial performance.
Attributes | Details |
---|---|
Global Revenue Assurance Market Size (2023) | US$ 654.5 million |
Global Revenue Assurance Market Size (2033) | US$ 1479.9 million |
Global Revenue Assurance Market CAGR (2023 to 2033) | 8.5% |
U.S. Revenue Assurance Market Size (2033) | US$ 452 million |
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According to research by Future Market Insights, the revenue assurance market experienced an approximate 8% CAGR increase in its market value from 2018 to 2022.
During the forecast period, demand for revenue assurance software and services is expected to increase as consumers become aware of the serious consequences of revenue leaks. Further, the market for revenue assurance is expanding, with the aim of maintaining that everything that should be paid and billed on time across all revenue and expense streams. Also, the demand growth should pick up in the coming months.
Technological developments are highly probable to provide possibilities for the market during the forecast period. Cloud, 4G, and 5G, Internet - of - things, and Software-defined networking and network functions virtualization technologies enable operators to launch new business models and services. However, they also allow for the emergence of new instances of fraud.
Traditional systems are incapable of dealing with the complexities of today's mobile environment, resulting in revenue loss and profit erosion. In the coming years, market growth is projected to be boosted by the introduction of innovative techniques and processes such as real-time revenue assurance.
Technologically advanced revenue assurance systems help businesses improve and automate traditional revenue assurance detection and monitoring processes while the primary goal of any revenue assurance services is to detect and prevent revenue leakage. These systems also detect and prevent fraud and data inconsistencies.
Product and service-based businesses face a variety of challenges and issues, ranging from expanding their client base in saturated markets to managing a significantly growing base in developing markets. Multiple vendor markets are also highly competitive, necessitating ongoing innovation and technological development to maintain a competitive advantage.
All of these scenarios increase a company's vulnerability to revenue loss and necessarily entail the inclusion of effective revenue assurance methods in their overall revenue management strategy.
Recently, the Nigerian Communications Commission signed a Public-Private Partnership agreement with its consultant, 3R Company Nigeria Limited, to implement Revenue Assurance Solutions in the Nigerian telecommunications industry to strengthen and manage revenue generation.
Implementing Revenue Assurance Solutions might improve the monitoring and regulatory activities related to AOL administration in the telecommunications industry, as well as the integrity and fidelity of the industry's AOL figures.
North America is the leading region with the high projected growth due to the presence of key internet and communication service providers. North America is a pioneer in terms of significant investment in and adoption of cutting-edge technologies.
According to the GSM Association's Mobile Economy 2020 report, by the end of 2025, around 48% of telecom subscribers are poised to use 5G technology.
According to the report, the region's IoT connections totaled 3 billion in 2020 and is expected to reach 5.4 billion by 2025. The region's financial stability opens up numerous opportunities for new investments and increased adoption of cutting-edge IoT devices. With these, the demand for revenue assurance is also expected to surge at a notable pace in the region. North America is projected to hold a 51% share of the global revenue assurance market.
The United States is expected to account for the high market share of US$ 452 million by the end of 2033. Technological advancements and an increase in the number of revenue-generating activities across organizations are the key drivers of growth.
In May 2022, MYCOM OSI, the United Kingdom-based provider of cloud network and service assurance solutions to global telecommunications service providers, agreed to be acquired by Amdocs. Amdocs' internet backbone portfolio is anticipated to be expanded to include end-to-end revenue assurance systems and service and network orchestration by bringing key assurance capabilities to power the next generation of networks.
MYCOM OSI's service assurance suite includes performance monitoring, error checking, and quality of service management tools that use artificial intelligence and machine learning to detect and predict discrepancies and enable intent-driven closed-loop operations via automated remediation and AIOps. The United States is predicted to expand at a CAGR of 8.6% over the coming decades.
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The software segment is forecasted to expand at a high CAGR of over 7.6% from 2023 to 2033. The software segment is dominant as it is widely used across industries.
Some of the software features that can help segment growth include revenue risk identification, revenue growth, overall monitoring, and accurate reporting.
The service segment also includes planning and consulting, execution and personalization, maintenance, and support, and managed services. Also, the successful implementation of revenue leakage security software and services has resulted in large revenue assurance market growth.
Revenue assurance teams understand that if billing processes do not reflect contract pricing structures, margins suffer immediately. Artificial intelligence technology identifies revenue leakage sources and eliminates the causes of actual revenue loss.
Human-led data reconciliation operations make timely verification and investigation of revenue leakage difficult with thousands of contracts to check, vast amounts of data involved, data quality issues, and manual processes. Control of demand fluctuations is not easy. However, with the usage of appropriate revenue assurance software, data processes can be improved which can reduce revenue leakage.
The demand for cloud-based revenue assurance solutions is forecasted to thrive at a notable CAGR of over 7.7% from 2023 to 2033. The on-premise segment accounts for a significant revenue assurance market share due to great security, total control over the hardware, and great customization.
A flexible deployment model is required for the widespread adoption of revenue assurance technologies such as 5G, Internet of Things, AI, AI Learning, and augmented and virtual reality, among others. Also, the demand for technically sophisticated software and techniques is growing across all industries as a result of increased digitalization.
The leading revenue assurance vendors in the global revenue assurance industry are Amdocs, Araxxe Inc., Adapt IT, Cartesian, and Digital Route. To gain a competitive advantage in the industry, these market players are investing in product launches, partnerships, mergers and acquisitions, and expansions.
Several new companies are expected to enter the market due to the growing demand for the product around the world. This is expected to increase competition on a worldwide scale.
Market growth is expected to be fueled by collaborations among current players to improve quality throughout the research period. Over the projection period, established market players are expected to diversify their portfolios and offer one-stop solutions to combat fierce competition.
Some of the recent activities related to mergers and acquisitions and software developments are as follows:
Report Attributes | Details |
---|---|
Global Revenue Assurance Market CAGR (2023 to 2033) | 8.5% |
Base Year for Estimation | 2022 |
Historical Data | 2018 to 2022 |
Forecast Period | 2023 to 2033 |
Global Revenue Assurance Market Size (2023) | US$ 654.5 million |
Global Revenue Assurance Market Size (2033) | US$ 1479.9 million |
Quantitative Units | Revenue in US$ million and CAGR from 2023 to 2033 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
Segments Covered |
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Regions Covered |
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Key Countries Profiled |
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Key Companies Covered |
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Customization | Available Upon Request |
The market is estimated to secure a valuation of US$ 654.5 million in 2023.
The market is estimated to register a CAGR of 8.5% through 2033.
The expected value of the United States market is US$ 452 million by 2033.
The market is projected to grow to US$ 1479.9 million in 2033.
The software segment is likely to remain preferred through 2033.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Software
5.3.2. Services
5.3.2.1. Planning and Consulting Services
5.3.2.2. Implementation and Customization Services
5.3.2.3. Support and Maintenance Services
5.3.2.4. Managed Services
5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode, 2023 to 2033
6.3.1. Cloud-based Revenue Assurance
6.3.2. On-premises-based Revenue Assurance
6.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Deployment Mode, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-User
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By End-User , 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-User , 2023 to 2033
7.3.1. TSPs
7.3.2. Enterprises
7.4. Y-o-Y Growth Trend Analysis By End-User , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By End-User , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033
8.3.1. Telecom
8.3.2. Utilities
8.3.3. BFSI
8.3.4. Hospitality
8.3.5. Others
8.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Western Europe
9.3.4. Eastern Europe
9.3.5. South Asia and Pacific
9.3.6. East Asia
9.3.7. Middle East and Africa
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. USA
10.2.1.2. Canada
10.2.2. By Component
10.2.3. By Deployment Mode
10.2.4. By End-User
10.2.5. By Vertical
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By Deployment Mode
10.3.4. By End-User
10.3.5. By Vertical
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Component
11.2.3. By Deployment Mode
11.2.4. By End-User
11.2.5. By Vertical
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Deployment Mode
11.3.4. By End-User
11.3.5. By Vertical
11.4. Key Takeaways
12. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. UK
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Western Europe
12.2.2. By Component
12.2.3. By Deployment Mode
12.2.4. By End-User
12.2.5. By Vertical
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Deployment Mode
12.3.4. By End-User
12.3.5. By Vertical
12.4. Key Takeaways
13. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. Poland
13.2.1.2. Russia
13.2.1.3. Czech Republic
13.2.1.4. Romania
13.2.1.5. Rest of Eastern Europe
13.2.2. By Component
13.2.3. By Deployment Mode
13.2.4. By End-User
13.2.5. By Vertical
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Deployment Mode
13.3.4. By End-User
13.3.5. By Vertical
13.4. Key Takeaways
14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. India
14.2.1.2. Bangladesh
14.2.1.3. Australia
14.2.1.4. New Zealand
14.2.1.5. Rest of South Asia and Pacific
14.2.2. By Component
14.2.3. By Deployment Mode
14.2.4. By End-User
14.2.5. By Vertical
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By Deployment Mode
14.3.4. By End-User
14.3.5. By Vertical
14.4. Key Takeaways
15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. China
15.2.1.2. Japan
15.2.1.3. South Korea
15.2.2. By Component
15.2.3. By Deployment Mode
15.2.4. By End-User
15.2.5. By Vertical
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Component
15.3.3. By Deployment Mode
15.3.4. By End-User
15.3.5. By Vertical
15.4. Key Takeaways
16. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Component
16.2.3. By Deployment Mode
16.2.4. By End-User
16.2.5. By Vertical
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Component
16.3.3. By Deployment Mode
16.3.4. By End-User
16.3.5. By Vertical
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Component
17.1.2.2. By Deployment Mode
17.1.2.3. By End-User
17.1.2.4. By Vertical
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Component
17.2.2.2. By Deployment Mode
17.2.2.3. By End-User
17.2.2.4. By Vertical
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Component
17.3.2.2. By Deployment Mode
17.3.2.3. By End-User
17.3.2.4. By Vertical
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Component
17.4.2.2. By Deployment Mode
17.4.2.3. By End-User
17.4.2.4. By Vertical
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Component
17.5.2.2. By Deployment Mode
17.5.2.3. By End-User
17.5.2.4. By Vertical
17.6. UK
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Component
17.6.2.2. By Deployment Mode
17.6.2.3. By End-User
17.6.2.4. By Vertical
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Component
17.7.2.2. By Deployment Mode
17.7.2.3. By End-User
17.7.2.4. By Vertical
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Component
17.8.2.2. By Deployment Mode
17.8.2.3. By End-User
17.8.2.4. By Vertical
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Component
17.9.2.2. By Deployment Mode
17.9.2.3. By End-User
17.9.2.4. By Vertical
17.10. Poland
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Component
17.10.2.2. By Deployment Mode
17.10.2.3. By End-User
17.10.2.4. By Vertical
17.11. Russia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Component
17.11.2.2. By Deployment Mode
17.11.2.3. By End-User
17.11.2.4. By Vertical
17.12. Czech Republic
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Component
17.12.2.2. By Deployment Mode
17.12.2.3. By End-User
17.12.2.4. By Vertical
17.13. Romania
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Component
17.13.2.2. By Deployment Mode
17.13.2.3. By End-User
17.13.2.4. By Vertical
17.14. India
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Component
17.14.2.2. By Deployment Mode
17.14.2.3. By End-User
17.14.2.4. By Vertical
17.15. Bangladesh
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Component
17.15.2.2. By Deployment Mode
17.15.2.3. By End-User
17.15.2.4. By Vertical
17.16. Australia
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Component
17.16.2.2. By Deployment Mode
17.16.2.3. By End-User
17.16.2.4. By Vertical
17.17. New Zealand
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Component
17.17.2.2. By Deployment Mode
17.17.2.3. By End-User
17.17.2.4. By Vertical
17.18. China
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Component
17.18.2.2. By Deployment Mode
17.18.2.3. By End-User
17.18.2.4. By Vertical
17.19. Japan
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Component
17.19.2.2. By Deployment Mode
17.19.2.3. By End-User
17.19.2.4. By Vertical
17.20. South Korea
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Component
17.20.2.2. By Deployment Mode
17.20.2.3. By End-User
17.20.2.4. By Vertical
17.21. GCC Countries
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Component
17.21.2.2. By Deployment Mode
17.21.2.3. By End-User
17.21.2.4. By Vertical
17.22. South Africa
17.22.1. Pricing Analysis
17.22.2. Market Share Analysis, 2022
17.22.2.1. By Component
17.22.2.2. By Deployment Mode
17.22.2.3. By End-User
17.22.2.4. By Vertical
17.23. Israel
17.23.1. Pricing Analysis
17.23.2. Market Share Analysis, 2022
17.23.2.1. By Component
17.23.2.2. By Deployment Mode
17.23.2.3. By End-User
17.23.2.4. By Vertical
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Component
18.3.3. By Deployment Mode
18.3.4. By End-User
18.3.5. By Vertical
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. Amdocs
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. Araxxe Inc.
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. Adapt IT
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. Cartesian
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Digital Route
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. eClerx
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. HPE
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. Itron
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. Nokia
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. Profit Insight
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
19.1.11. Sagacity Solutions
19.1.11.1. Overview
19.1.11.2. Product Portfolio
19.1.11.3. Profitability by Market Segments
19.1.11.4. Sales Footprint
19.1.11.5. Strategy Overview
19.1.11.5.1. Marketing Strategy
19.1.12. Sandvine
19.1.12.1. Overview
19.1.12.2. Product Portfolio
19.1.12.3. Profitability by Market Segments
19.1.12.4. Sales Footprint
19.1.12.5. Strategy Overview
19.1.12.5.1. Marketing Strategy
19.1.13. Sigos
19.1.13.1. Overview
19.1.13.2. Product Portfolio
19.1.13.3. Profitability by Market Segments
19.1.13.4. Sales Footprint
19.1.13.5. Strategy Overview
19.1.13.5.1. Marketing Strategy
19.1.14. Subex
19.1.14.1. Overview
19.1.14.2. Product Portfolio
19.1.14.3. Profitability by Market Segments
19.1.14.4. Sales Footprint
19.1.14.5. Strategy Overview
19.1.14.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
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